Robust Precoding for HF Skywave Massive MIMO With Slepian Transform
In this paper, we address robust precoding in high-frequency (HF) skywave massive multiple-input multiple-output (MIMO) systems with imperfect channel state information (CSI). We first employ a sparse beam based a posteriori channel model and demonstrate that robust precoding can be efficiently solv...
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| Veröffentlicht in: | IEEE transactions on communications 2024-06, Vol.72 (6), p.3752-3765 |
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| creator | Song, Linfeng Shi, Ding Gan, Lu Gao, Xiqi |
| description | In this paper, we address robust precoding in high-frequency (HF) skywave massive multiple-input multiple-output (MIMO) systems with imperfect channel state information (CSI). We first employ a sparse beam based a posteriori channel model and demonstrate that robust precoding can be efficiently solved in the Slepian transform domain with a large number of base station (BS) antennas. Next, we introduce two Slepian transform based robust precoding methods, including a joint approach that leverages inverse fast Fourier transform (IFFT) for reduced complexity with a large number of user terminals (UTs). We then establish a local optimum for the Slepian transform domain robust precoder (STRP) design using the majorization minimization (MM) algorithm, taking advantages of HF skywave massive MIMO channel sparsity and Slepian sequence properties. Further, two distinct designs are presented: separate STRP (SSTRP) and joint STRP (JSTRP). Simulation results confirm the effectiveness of proposed robust precoders, showcasing their excellent ergodic sum-rate performance and low complexity. |
| doi_str_mv | 10.1109/TCOMM.2024.3362146 |
| format | Article |
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We first employ a sparse beam based a posteriori channel model and demonstrate that robust precoding can be efficiently solved in the Slepian transform domain with a large number of base station (BS) antennas. Next, we introduce two Slepian transform based robust precoding methods, including a joint approach that leverages inverse fast Fourier transform (IFFT) for reduced complexity with a large number of user terminals (UTs). We then establish a local optimum for the Slepian transform domain robust precoder (STRP) design using the majorization minimization (MM) algorithm, taking advantages of HF skywave massive MIMO channel sparsity and Slepian sequence properties. Further, two distinct designs are presented: separate STRP (SSTRP) and joint STRP (JSTRP). 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We first employ a sparse beam based a posteriori channel model and demonstrate that robust precoding can be efficiently solved in the Slepian transform domain with a large number of base station (BS) antennas. Next, we introduce two Slepian transform based robust precoding methods, including a joint approach that leverages inverse fast Fourier transform (IFFT) for reduced complexity with a large number of user terminals (UTs). We then establish a local optimum for the Slepian transform domain robust precoder (STRP) design using the majorization minimization (MM) algorithm, taking advantages of HF skywave massive MIMO channel sparsity and Slepian sequence properties. Further, two distinct designs are presented: separate STRP (SSTRP) and joint STRP (JSTRP). Simulation results confirm the effectiveness of proposed robust precoders, showcasing their excellent ergodic sum-rate performance and low complexity.</description><subject>Algorithms</subject><subject>Channel models</subject><subject>Complexity</subject><subject>Complexity theory</subject><subject>Domains</subject><subject>Fast Fourier transformations</subject><subject>Fourier transforms</subject><subject>HF skywave communications</subject><subject>Massive MIMO</subject><subject>MIMO communication</subject><subject>OFDM</subject><subject>Optimization</subject><subject>Precoding</subject><subject>robust precoding</subject><subject>Robustness</subject><subject>Slepian transform</subject><subject>Symbols</subject><subject>Transforms</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1PwkAURSdGExH9A8bFJK6Lbz7amVmaRoWEBiMYl5Np-6pFaHGmaPj3FmHh6i7ePfclh5BrBiPGwNwt0lmWjThwORIi4UwmJ2TA4lhHoGN1SgYABqJEKX1OLkJYAoAEIQYkfWnzbejos8eiLevmnVatp-NHOv_c_bhvpJkLod7nJJvRt7r7oPMVbmrX0IV3Tejb60tyVrlVwKtjDsnr48MiHUfT2dMkvZ9GBZeqi0rjEuSqrEoXo5TGxVBJnRcmV1gVgpsEHWqBrCixEkyoWMpSMwc512CcEENye9jd-PZri6Gzy3brm_6lFZCYhKlEm77FD63CtyF4rOzG12vnd5aB3cuyf7LsXpY9yuqhmwNUI-I_QDIj-vMvuQplRQ</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Song, Linfeng</creator><creator>Shi, Ding</creator><creator>Gan, Lu</creator><creator>Gao, Xiqi</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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We first employ a sparse beam based a posteriori channel model and demonstrate that robust precoding can be efficiently solved in the Slepian transform domain with a large number of base station (BS) antennas. Next, we introduce two Slepian transform based robust precoding methods, including a joint approach that leverages inverse fast Fourier transform (IFFT) for reduced complexity with a large number of user terminals (UTs). We then establish a local optimum for the Slepian transform domain robust precoder (STRP) design using the majorization minimization (MM) algorithm, taking advantages of HF skywave massive MIMO channel sparsity and Slepian sequence properties. Further, two distinct designs are presented: separate STRP (SSTRP) and joint STRP (JSTRP). Simulation results confirm the effectiveness of proposed robust precoders, showcasing their excellent ergodic sum-rate performance and low complexity.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2024.3362146</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-1056-7660</orcidid><orcidid>https://orcid.org/0000-0002-1996-8914</orcidid><orcidid>https://orcid.org/0000-0003-1646-4988</orcidid><orcidid>https://orcid.org/0000-0001-9107-6593</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Channel models Complexity Complexity theory Domains Fast Fourier transformations Fourier transforms HF skywave communications Massive MIMO MIMO communication OFDM Optimization Precoding robust precoding Robustness Slepian transform Symbols Transforms |
| title | Robust Precoding for HF Skywave Massive MIMO With Slepian Transform |
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